"# Real_Estate_Analytics"

1 Developed a data-driven product by scraping property listing websites, resulting in a dataset that underwent rigorous data cleaning, feature engineering, outlier detection, and missing value imputation processes.

2 Engineered and deployed a machine learning model to predict property prices based on key features, helping informed decision-making for potential homebuyers.

3 Established a comprehensive analytics suite with interactive visualizations using Streamlit, showcasing key performance indicators (KPIs) and providing personalized recommendations for similar localities, enhancing user engagement and facilitating informed home search decisions.